Duration: 2019 - 2021
Code: PGC2018-101425-B-I00
This project aims at investigating the notion of representation in cognitive science. The initial hypothesis of the project is that a suffiently expressive model of the relation between mind(s) and world, so that representation can be explored therein, needs to augment game-theoretic sender-receiver models by embedding them in a formal model of the world as a probabilistic landscape. This will open the possibility of devising formal content-determining algorithms for the model.
The investigation of this hypothesis is articulated around three general, interrelated objectives:
O1. The specification of a model of the interaction of mind(s) and world, expressive enough to investigate the role of representations therein.
O2. The formulation of algorithmic recipes for crediting entities in the model with representational status, and for the identification of their content.
O3. The application of these recipes to particular problem cases in the scientific use of representations.